Next Article in Journal
Evaluating the Impact of China’s Rail Network Expansions on Local Accessibility: A Market Potential Approach
Previous Article in Journal
Macro Micro Studio: A Prototype Energy Autonomous Laboratory
Article Menu

Export Article

Erratum published on 1 September 2016, see Sustainability 2016, 8(9), 880.

Open AccessArticle
Sustainability 2016, 8(6), 507; doi:10.3390/su8060507

Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China

1
Institute of Geographic Science and Natural Resources Research, 11A, Datun Road, Chaoyang District, Beijing 100101, China
2
University of Chinese Academy of Sciences, 19 A, Yuquan Road, Shijingshan District, Beijing 100049, China
3
Xinjiang University, 14 Shengli Road, Urumqi 830046, China
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 3 March 2016 / Revised: 12 May 2016 / Accepted: 19 May 2016 / Published: 26 May 2016
View Full-Text   |   Download PDF [2138 KB, uploaded 1 September 2016]   |  

Abstract

With the development of new generation technology and the low-carbon economy, the smart low-carbon city has become one of the academic hotspots. Many studies on it have begun; however, the dynamic mechanism is rarely involved. Therefore, this paper uses the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to creatively take a quantitative study on a Chinese smart low-carbon city’s dynamic mechanism. The results show that: (1) the three main dynamics of smart low-carbon city development in China are institutional and cultural conditions, facilities and functions conditions and economy and industry conditions, but the overall utility is relatively low; (2) the level of the dynamic operation mechanism of the Chinese smart low-carbon city is distinct between regions, indicating a diminishing spatial law from east to west and differences within regions; (3) the imbalance of the comprehensive dynamic mechanism and the operation status between smart low-carbon cities is prominent, showing a decreasing urban scale law of from big to small and differences within each scale, and a descending administration hierarchy law from high to low and differences within each class; (4) seven basic development patterns can be obtained, and most of the cities belong to the external strong/internal weak mode, which basically matches with its development realities. Finally, general policy recommendations and countermeasures of optimization and improvement are proposed. View Full-Text
Keywords: smart low-carbon city; dynamic mechanism; quantitative study; China smart low-carbon city; dynamic mechanism; quantitative study; China
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Fang, C.; Pang, B.; Liu, H. Quantitative Study on the Dynamic Mechanism of Smart Low-Carbon City Development in China. Sustainability 2016, 8, 507.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top